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2022–2026 LIVE

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Machine Learning

2026 · 5,351 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2026 · ICLR
LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
Guanzheng Chen, Michael Qizhe Shieh, Lidong Bing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
Yuhao Wu, Yushi Bai, Zhiqiang Hu, Roy Ka-Wei Lee, Juanzi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents
Yaorui SHI, Yuxin Chen, Siyuan Wang, Sihang Li, Hengxing Cai, Qi GU, Xiang Wang, An Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation
Xingyu Zhu, Kesen Zhao, Liang Yi, Shuo Wang, Zhicai Wang, Beier Zhu, Hanwang Zhang, Xiangnan He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Look-ahead Reasoning with a Learned Model in Imperfect Information Games
Ondrej Kubicek, Viliam Lisý
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards
Shangyu Xing, Siyuan Wang, Chenyuan Yang, Xin-Yu Dai, Xiang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation
Jinwoo Ahn, Ingyu Seong, Akhil Kedia, Junhan Kim, Hyemi Jang, Kangwook Lee, Yongkweon Jeon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lookup multivariate Kolmogorov-Arnold Networks
Sergey Pozdnyakov, Philippe Schwaller
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
Siyuan Wang, Gaokai Zhang, Li Lyna Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation
Ahmadreza Jeddi, Marco Ciccone, Babak Taati
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
Mingyu Jo, Jaesik Yoon, Justin Deschenaux, Caglar Gulcehre, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lossless Vocabulary Reduction for Auto-Regressive Language Models
Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Shin'ya Yamaguchi, Tomoya Ohba, Tamao Sakao, Susumu Takeuchi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lossy Common Information in a Learnable Gray-Wyner Network
Anderson de Andrade, Alon Harell, Ivan Bajic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs
Kai Zhuang, Jiawei Zhang, Yumou Liu, Hanqun Cao, Chunbin Gu, Mengdi Liu, Zhangyang Gao, Zitong Jerry Wang, Xuanhe Zhou, Pheng-Ann Heng, Lijun Wu, Conghui He, Cheng Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model?
Xu Zhang, Peng Wang, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LouisKV: Efficient KV Cache Retrieval for Long Input-Output Sequences
WENBO WU, Qingyi Si, Xiurui Pan, Ye Wang, Jie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization
Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos, Marios Polycarpou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Low rank adaptation of chemical foundation models generate effective odorant representations
Grant McConachie, Emily Duniec, Florence Guerina, Meg Younger, Brian DePasquale
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Low-Latency Neural LiDAR Compression with 2D Context Models
Rui Song, Yan Wang, Tongda Xu, Zhening Liu, Zehong Lin, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Low-Pass Filtering Improves Behavioral Alignment of Vision Models
Max Wolff, Thomas Klein, Evgenia Rusak, Felix Wichmann, Wieland Brendel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion
Yancheng Wang, Chengshuai Zhao, Dongfang Sun, huan liu, Yingzhen Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Low-pass Personalized Subgraph Federated Recommendation
Wooseok Sim, Hogun Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer
Song Fei, Tian Ye, Lujia Wang, Lei Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context
Jingzhi Bao, Hongze CHEN, Lingting Zhu, Chenyu Liu, Runze Zhang, Keyang Luo, Zeyu HU, Weikai Chen, Yingda Yin, Xin Wang, Zehong Lin, Jun Zhang, Xiaoguang Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective
Hangjie Yuan, Weihua Chen, Jun CEN, Hu Yu, Jingyun Liang, Shuning Chang, Zhihui Lin, Tao Feng, Pengwei Liu, Jiazheng Xing, Hao Luo, Jiasheng Tang, Fan Wang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
Jiazheng Xing, Fei Du, Hangjie Yuan, Pengwei Liu, Hongbin Xu, Hai Ci, Ruigang Niu, Weihua Chen, Fan Wang, Yong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
Gang Lin, dongfang li, Zhuoen Chen, Yukun Shi, Xuhui Chen, Baotian Hu, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, Xuanchi Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
M$^2$-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining
Rui LYU, Juncheng Mo, Tianyi Chu, Chen Rao, Hongyi Jing, Jiajie Teng, Jiafu Chen, Shiqi Zhang, Liangzi Ding, Shuo Fang, Huaizhong Lin, Ziqiang Dang, Chenguang Ma, Lei Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
M$^3$E: Continual Vision-and-Language Navigation via Mixture of Macro and Micro Experts
Yongliang Jiang, Huaidong Zhang, Xuandi Luo, Shengfeng He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding
Juntao Jiang, Jiangning Zhang, Yali bi, BAI Jinsheng, Weixuan Liu, Weiwei Jin, Zhucun Xue, Yong Liu, Xiaobin Hu, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MAC-AMP: A Closed-Loop Multi-Agent Collaboration System for Multi-Objective Antimicrobial Peptide Design
Gen Zhou, Sugitha Janarthanan, Lianghong Chen, Pingzhao Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning
Haocheng Yang, Fengxiang Cheng, Tianjun Yao, Mengyue Yang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Soummya Kar, Fenrong Liu, Haoxuan Li, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MAGE: Multi-scale Autoregressive Generation for Offline Reinforcement Learning
Chenxing Lin, Xinhui Gao, Haipeng Zhang, Xinran Li, Haitao Wang, Songzhu Mei, Chenglu Wen, Weiquan Liu, Siqi Shen, Cheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MAGO: Beyond Fixed Hyperparameters with Multi-Objective Pareto Optimization for Hybrid LLM Reasoning
Hongcheng Ding, Xuanze Zhao, Ruiting Deng, Shamsul Abdullah, Deshinta Dewi, LIU QINGYU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MAGREF: Masked Guidance for Any-Reference Video Generation with Subject Disentanglement
Yufan Deng, Yuanyang Yin, Xun Guo, Yizhi Wang, Zhiyuan Fang, Shenghai Yuan, Yiding Yang, Angtian Wang, Bo Liu, Haibin Huang, Chongyang Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
Yanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang, Jialing Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang, Zhifeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MAPSS: Manifold-based Assessment of Perceptual Source Separation
Amir Ivry, Samuele Cornell, Shinji Watanabe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
Peiran Wu, Zhuorui Yu, Yunze Liu, Chi-Hao Wu, Enmin Zhou, Junxiao Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MARL2Grid-TR: A Multi-Agent RL Benchmark in Power Grid Operations
Enrico Marchesini, Eva Boguslawski, Alessandro Leite, Christopher Amato, Matthieu DUSSARTRE, Marc Schoenauer, Benjamin Donnot, Priya Donti
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MARS - A Foundational Map Auto-Regressor
Qi Zhang, Suvam Bag, Rupanjali Kukal, Mikael Figueroa, Rishi Madhok, Nikolaos Karianakis, Fuxun Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MARS-Sep: Multimodal-Aligned Reinforced Sound Separation
Zihan Zhang, Xize Cheng, Zhennan Jiang, Dongjie Fu, Jingyuan Chen, Zhou Zhao, Tao Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs
Huining Yuan, Zelai Xu, Zheyue Tan, Xiangmin Yi, Mo Guang, Kaiwen Long, Haojia Hui, BOXUN LI, Xinlei Chen, Bo Zhao, Xiao-Ping Zhang, Chao Yu, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference
Kaiyan Zhang, Kai Tian, Runze Liu, Sihang Zeng, Xuekai Zhu, Guoli Jia, Yuchen Fan, Xingtai Lv, Yuxin Zuo, Che Jiang, Yuru wang, Jianyu Wang, Ermo Hua, Xinwei Long, Junqi Gao, Youbang Sun, Zhiyuan Ma, Ganqu Cui, Ning Ding, Biqing Qi, Bowen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MASAM: Multimodal Adaptive Sharpness-Aware Minimization for Heterogeneous Data Fusion
ZIjie CHEN, Kejing Yin, Wenfang Yao, William Kwok-wai Cheung, Jing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MASS: MoErging through Adaptive Subspace Selection
Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning
Zhixi Cai, Fucai Ke, Kevin Leo, Sukai Huang, Maria de la Banda, Peter Stuckey, Hamid Rezatofighi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model
Prasanna Mayilvahanan, Ricardo Dominguez-Olmedo, Thaddäus Wiedemer, Wieland Brendel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MATHMO: Automated Mathematical Modeling Through Adaptive Search
Tennison Liu, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MATRIX: Mask Track Alignment for Interaction-aware Video Generation
Siyoon Jin, seongchan kim, Jae Lee, Dahyun Chung, Hyunwook Choi, Jisu Nam, Jiyoung Kim, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation
Zhe Feng, Shilong Tao, Haonan Sun, Shaohan Chen, Zhanxing Zhu, Yunhuai Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik Hamann, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks
Sara Papi, Maike Züfle, Marco Gaido, Beatrice Savoldi, Danni Liu, Ioannis Douros, Luisa Bentivogli, Jan Niehues
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents
Dongsen Zhang, Zekun Li, Xu Luo, Xuannan Liu, Pei Li, Wenjun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Zhenting Wang, Qi Chang, Hemani Patel, Shashank Biju, Cheng-En Wu, Quan Liu, Aolin Ding, Alireza Rezazadeh, Ankit Parag Shah, Yujia Bao, Eugene Siow
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP Servers
Xuanjun Zong, Zhiqi Shen, Lei Wang, Yunshi Lan, yang chao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use
Zijian Wu, Xiangyan Liu, xinyuan zhang, Lingjun Chen, Fanqing Meng, Lingxiao Du, Yiran Zhao, Fanshi Zhang, Yaoqi Ye, Jiawei Wang, Zirui Wang, Jinjie Ni, Yufan Yang, Arvin Xu, Michael Qizhe Shieh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology
Juni Schindler, Mauricio Barahona
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MEGS^{2}: Memory-Efficient Gaussian Splatting via Spherical Gaussians and Unified Pruning
Jiarui Chen, Yikeng Chen, Yingshuang Zou, Ye Huang, Peng Wang, Yuan Liu, YUJING SUN, Wenping Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Zijian Zhou, Ao Qu, Zhaoxuan Wu, Sunghwan Kim, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low, Paul Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MENLO: From Preferences to Proficiency – Evaluating and Modeling Native-like Quality Across 47 Languages
Chenxi Whitehouse, Sebastian Ruder, Tony Lin, Oksana Kurylo, Haruka Takagi, Janice Lam, Nicolò Busetto, Denise Diaz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
Kewei Zhang, Ye Huang, Yufan Deng, Jincheng YU, Junsong Chen, Huan Ling, Enze Xie, Zhou Daquan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MIAM: Modality Imbalance-Aware Masking for Multimodal Ecological Applications
Robin Zbinden, Wesley Monteith-Finas, Gencer Sumbul, Nina van Tiel, Chiara Vanalli, Devis Tuia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MICLIP: Learning to Interpret Representation in Vision Models
Yingdong Shi, Zhiyu Yang, Changming Li, Jingyi Yu, Kan Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MIDAS: Multi-Image Dispersion and Semantic Reconstruction for Jailbreaking MLLMs
Yilian Liu, Guoshun Nan, Jiuyang Lyu, Zhican Chen, Tao Guan, Shuyuan Luo, Zhongyi Zhai, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MILCO: Learned Sparse Retrieval Across Languages via a Multilingual Connector
Thong Nguyen, Yibin Lei, Dylan JH Ju, Eugene Yang, Andrew Yates
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems
Ruobing Wang, Xin Li, Mingzhong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning
Yapeng Mi, Yanpeng Zhao, Henry Li, Chenxi Li, Huimin Wu, Xiaojian Ma, Song-Chun Zhu, Yingnian Wu, Qing Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MIMIC-Bench: Exploring the User-Like Thinking and Mimicking Capabilities of Multimodal Large Language Models
Jiajie Teng, Huiyu Duan, Sijing Wu, Jiarui Wang, Xilei Zhu, Jianing Jin, Wei Shen, Xiongkuo Min, Guangtao Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MIMIC: Mask-Injected Manipulation Video Generation with Interaction Control
Tianxiao Chen, Jintao Rong, Huajin Chen, Jingya Wang, Tao Zhou, Jiming Chen, Qi Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance
Narjes Nourzad, Carlee Joe-Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MIRACLE: Model-free Imitation and Reinforcement Learning for Adaptive Cut-Selection
Arjun Manoj, Rijul Tandon, Agam Gupta, HARIPRASAD KODAMANA, Manojkumar Charandas Ramteke
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MLE-Smith: Scaling MLE Tasks with Automated Multi-agent Pipeline
Rushi Qiang, Yuchen Zhuang, Anikait Singh, Percy Liang, Chao Zhang, Sherry Yang, Bo Dai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MLP Memory: A Retriever-Pretrained Memory for Large Language Models
Rubin Wei, Jiaqi Cao, Jiarui Wang, Jushi Kai, Qipeng Guo, Bowen Zhou, Zhouhan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization
Xiangyu Zhao, Lin, Tianhao Liang, Yifan Zhou, Wenhao Chai, Yuzhe Gu, Weiyun Wang, Kai Chen, Gen Luo, Junchi Yan, Wenwei Zhang, Hua Yang, Haodong Duan, Xue Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning
Yueqian Wang, Songxiang Liu, Disong Wang, Nuo Xu, Guanglu Wan, Huishuai Zhang, Dongyan Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models
Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, YiFan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
Wulin Xie, YiFan Zhang, Chaoyou Fu, Yang Shi, Jianshu Zeng, Bingyan Nie, Hongkai Chen, Zhang, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss
Yunhao Zhang, Wenyao Hu, Jiale Zheng, Lujia Pan, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning
Jiachun Li, Shaoping Huang, Zhuoran Jin, Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
Kejian Zhu, Zhuoran Jin, Hongbang Yuan, Jiachun Li, Shangqing Tu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMReD: a Cross-Modal Benchmark for Dense Context Reasoning
Maxim Kurkin, Boris Shirokikh, IRINA ABDULLAEVA, Viktoriia Chekalina, Andrey Kuznetsov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence
Sihan Yang, Runsen Xu, Yiman Xie, Sizhe Yang, Mo Li, Jingli Lin, Chenming Zhu, Xiaochen Chen, Haodong Duan, Xiangyu Yue, Dahua Lin, Tai Wang, Jiangmiao Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
Dingdong WANG, Junan Li, Jincenzi Wu, Dongchao Yang, Xueyuan Chen, Tianhua Zhang, Helen Meng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents
Xijia Tao, Teng Yihua, Xinxing Su, Xinyu Fu, Jihao Wu, Chaofan Tao, Ziru Liu, Haoli Bai, Rui Liu, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs
Sixun Dong, Juhua Hu, Mian Zhang, Ming Yin, Yanjie Fu, Qi Qian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation
Ye Tian, Ling Yang, JiongFan Yang, Anran Wang, Yu Tian, Jiani zheng, Haochen Wang, Zhiyang Teng, Zhuochen Wang, Yinjie Wang, Yunhai Tong, Mengdi Wang, Xiangtai Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning
Peng Xia, Jinglu Wang, Yibo Peng, Kaide Zeng, Zihan Dong, Xian Wu, Xiangru Tang, Hongtu Zhu, Yun Li, Linjun Zhang, Shujie LIU, Yan Lu, Huaxiu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MOAI: Module-Optimizing Architecture for Non-Interactive Secure Transformer Inference
Linru Zhang, Xiangning Wang, Jun Jie Sim, Zhicong Huang, Jiahao Zhong, HUAXIONG WANG, Pu Duan, Kwok Yan Lam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MOBODY: Model-Based Off-Dynamics Offline Reinforcement Learning
Yihong Guo, Yu Yang, Pan Xu, Anqi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MOLM: Mixture of LoRA Markers
Samar Fares, Nurbek Tastan, Noor Hussein, Karthik Nandakumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement
Dong She, Siming Fu, Mushui Liu, Qiaoqiao Jin, Hualiang Wang, weihao zhou, Jidong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MOSS: Efficient and Accurate FP8 LLM Training with Microscaling and Automatic Scaling
Yu Zhang, Huiling Zhen, Mingxuan Yuan, Bei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval
Chaoran Xu, Chengkan Lv, Qiyu Chen, Feng Zhang, Zhengtao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval
Siyue Zhang, Yuan Gao, Xiao Zhou, Yilun Zhao, Tingyu Song, Arman Cohan, Anh Tuan Luu, Chen Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MSCR: Exploring the Vulnerability of LLMs’ Mathematical Reasoning Abilities Using Multi-Source Candidate Replacement
Zhishen Sun, Guang Dai, Haishan Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
Alex Iacob, Andrej Jovanovic, Mher Safaryan, Meghdad Kurmanji, Lorenzo Sani, Samuel Horváth, William Shen, Xinchi Qiu, Nic Lane
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation
Yanbo Ding, Xirui Hu, Guo Zhi, Yan Zhang, Xinrui Wang, Zhixiang He, Chi Zhang, Yali Wang, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MULTIMODALITY AS SUPERVISION: SELF-SUPERVISED SPECIALIZATION TO THE TEST ENVIRONMENT VIA MULTIMODALITY
Kunal Pratap Singh, Ali Garjani, Rishubh Singh, Muhammad Uzair Khattak, Jason Toskov, Efe Tarhan, Andrei Atanov, Oğuzhan Kar, Amir Zamir
Machine Learning
日本大学: 関与なし（対象大学）